CUED Publications database

High Performance Computing for City-Scale Modelling and Simulations

Soga, K and Casey, G and Soundararajan, KK and Zhao, B (2017) High Performance Computing for City-Scale Modelling and Simulations. Smart Infrastructure and Construction, 170. pp. 80-85.

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The 21st Century is witnessing a rapid rise of urbanization both in the developed and the developing world. Cities increasingly need to be able to do more with less in order to provide for the well-being of their citizens in a sustainable way. The promise of Smart City is an emerging ability to understand, to respond to, and to shape human activity at urban population and geographic scales so that a more agile, adaptive, and sustainable urban environment can be created (see Batty et al., 2012; Caragliu et al., 2011; Chourabi et al., 2012; Su et al., 2011 for early adoption of Smart City). To be effective, this requires the predictive power of data-driven modelling and city-scale computational simulations. Recently city-scale simulations are becoming possible thanks to a surge of development in the high-performance computing (HPC) domain including advanced hardware, computational and algorithmic techniques such as domain decomposition across multi-GPUs and multigrid techniques. Advanced high performance computing systems (a billion billion calculations per second) are now becoming available to performance city-scale simulations with micro-scale models of an individual objective (structure, people, vehicle, etc.) (e.g. Sánchez-Medina et al., 2010; Hori, 2011; Zia et al., 2012; Wijerathne et al., 2013; Pijanowski et al., 2014; Yoshimura et al., 2016; Johansen et al., 2017; Lu and Guan., 2017)

Item Type: Article
Divisions: Div D > Sustainable Development
Div D > Structures
Div D > Geotechnical and Environmental
Depositing User: Cron Job
Date Deposited: 27 Nov 2017 20:07
Last Modified: 22 Apr 2021 05:39
DOI: 10.1680/jsmic.17.00026